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Christian R. Shelton
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Fast time series classification using numerosity reduction
X Xi, E Keogh, C Shelton, L Wei, CA Ratanamahatana
Proceedings of the 23rd international conference on Machine learning, 1033-1040, 2006
7242006
Continuous time Bayesian networks
U Nodelman, CR Shelton, D Koller
Uncertainty in Artificial Intelligence, 2002
390*2002
Momentum control for balance
A Macchietto, V Zordan, CR Shelton
ACM SIGGRAPH 2009 papers, 1-8, 2009
2742009
A social reinforcement learning agent
C Isbell, CR Shelton, M Kearns, S Singh, P Stone
Proceedings of the fifth international conference on Autonomous agents, 377-384, 2001
2242001
Annotating genes of known and unknown function by large-scale coexpression analysis
K Horan, C Jang, J Bailey-Serres, R Mittler, C Shelton, JF Harper, JK Zhu, ...
Plant physiology 147 (1), 41-57, 2008
2122008
Automated, highly-accurate, bug assignment using machine learning and tossing graphs
P Bhattacharya, I Neamtiu, CR Shelton
Journal of Systems and Software 85 (10), 2275-2292, 2012
1912012
Learning continuous time Bayesian networks
U Nodelman, CR Shelton, D Koller
Uncertainty in Artificial Intelligence, 2003
187*2003
Improving Multi-target Tracking via Social Grouping
Z Qin, CR Shelton
IEEE Conference on Computer Vision and Pattern Recognition, 2012
1802012
Cobot in LambdaMOO: An adaptive social statistics agent
CL Isbell, M Kearns, S Singh, CR Shelton, P Stone, D Kormann
Autonomous Agents and Multi-Agent Systems 13, 327-354, 2006
1542006
Morphable surface models
CR Shelton
International Journal of Computer Vision 38, 75-91, 2000
1392000
A perturbation scheme for spherical arrangements with application to molecular modeling
D Halperin, CR Shelton
Proceedings of the thirteenth annual symposium on Computational geometry …, 1997
1231997
A continuation method for Nash equilibria in structured games
B Blum, CR Shelton, D Koller
Journal of Artificial Intelligence Research 25, 457-502, 2006
1142006
Intrusion detection using continuous time Bayesian networks
J Xu, CR Shelton
Journal of Artificial Intelligence Research 39, 745-774, 2010
1082010
Expectation maximization and complex duration distributions for continuous time Bayesian networks
U Nodelman, CR Shelton, D Koller
Uncertainty in Artificial Intelligence, 2005
105*2005
Importance sampling for reinforcement learning with multiple objectives
CR Shelton
1052001
An electronic market-maker
NT Chan, C Shelton
1052001
Machine learning, machine vision, and the brain
T Poggio, CR Shelton
AI Magazine 20 (3), 37-37, 1999
1001999
Learning from scarce experience
L Peshkin, CR Shelton
International Conference on Machine Learning, 2002
962002
Rapid: Randomized pharmacophore identification for drug design
PW Finn, LE Kavraki, JC Latombe, R Motwani, C Shelton, ...
Proceedings of the thirteenth annual symposium on Computational geometry …, 1997
951997
Expectation propagation for continuous time Bayesian networks
U Nodelman, D Koller, CR Shelton
Uncertainty in Artificial Intelligence, 2005
92*2005
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Articles 1–20